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Review

CT-Based Commercial Software Applications: Improving Patient Care Through Accurate COPD Subtyping

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 919-930 | Published online: 26 Apr 2022

References

  • Quaderi SA, Hurst JR. The unmet global burden of COPD. Glob Health Epidemiol Genom. 2018;3:e4. doi:10.1017/gheg.2018.1
  • Agusti A, Calverley PM, Celli B, et al. Characterisation of COPD heterogeneity in the ECLIPSE cohort. Respir Res. 2010;11:122. doi:10.1186/1465-9921-11-122
  • Lopez-Campos JL, Tan W, Soriano JB. Global burden of COPD. Respirology. 2016;21(1):14–23. doi:10.1111/resp.12660
  • Lynch DA, Austin JH, Hogg JC, et al. CT-definable subtypes of chronic obstructive pulmonary disease: a statement of the Fleischner Society. Radiology. 2015;277(1):192–205. doi:10.1148/radiol.2015141579
  • Park J, Hobbs BD, Crapo JD, et al. Subtyping COPD by using visual and quantitative CT imaging features. Chest. 2020;157(1):47–60. doi:10.1016/j.chest.2019.06.015
  • Herth FJF, Kirby M, Sieren J, et al. The modern art of reading computed tomography images of the lungs: quantitative CT. Respiration. 2018;95(1):8–17. doi:10.1159/000480435
  • Lynch DA, Newell JD. Quantitative imaging of COPD. J Thorac Imaging. 2009;24(3):189–194. doi:10.1097/RTI.0b013e3181b31cf0
  • Coxson HO, Rogers RM, Whittall KP, et al. A quantification of the lung surface area in emphysema using computed tomography. Am J Respir Crit Care Med. 1999;159(3):851–856. doi:10.1164/ajrccm.159.3.9805067
  • Gevenois PA, De Vuyst P, de Maertelaer V, et al. Comparison of computed density and microscopic morphometry in pulmonary emphysema. Am J Respir Crit Care Med. 1996;154(1):187–192. doi:10.1164/ajrccm.154.1.8680679
  • Matsuoka S, Kurihara Y, Yagihashi K, Hoshino M, Watanabe N, Nakajima Y. Quantitative assessment of air trapping in chronic obstructive pulmonary disease using inspiratory and expiratory volumetric MDCT. AJR Am J Roentgenol. 2008;190(3):762–769. doi:10.2214/AJR.07.2820
  • Galban CJ, Han MK, Boes JL, et al. Computed tomography-based biomarker provides unique signature for diagnosis of COPD phenotypes and disease progression. Nat Med. 2012;18(11):1711–1715. doi:10.1038/nm.2971
  • Bhatt SP, Bodduluri S, Newell JD, et al. CT-derived biomechanical metrics improve agreement between spirometry and emphysema. Acad Radiol. 2016;23(10):1255–1263. doi:10.1016/j.acra.2016.02.002
  • Vasilescu DM, Martinez FJ, Marchetti N, et al. Noninvasive imaging biomarker identifies small airway damage in severe chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2019;200(5):575–581. doi:10.1164/rccm.201811-2083OC
  • Hammond E, Sloan C, Newell JD Jr, et al. Comparison of low- and ultralow-dose computed tomography protocols for quantitative lung and airway assessment. Med Phys. 2017;44(9):4747–4757. doi:10.1002/mp.12436
  • Gerard SE, Patton TJ, Christensen GE, Bayouth JE, Reinhardt JM. FissureNet: a deep learning approach for pulmonary fissure detection in CT images. IEEE Trans Med Imaging. 2019;38(1):156–166. doi:10.1109/TMI.2018.2858202
  • Estépar RS, Kinney GL, Black-Shinn JL, et al. Computed tomographic measures of pulmonary vascular morphology in smokers and their clinical implications. Am J Respir Crit Care Med. 2013;188(2):231–239. doi:10.1164/rccm.201301-0162OC
  • Martinez CH, Okajima Y, Yen A, et al. Paired CT measures of emphysema and small airways disease and lung function and exercise capacity in smokers with radiographic bronchiectasis. Acad Radiol. 2021;28(3):370–378. doi:10.1016/j.acra.2020.02.013
  • De Backer JW, Vos WG, Vinchurkar SC, et al. Validation of computational fluid dynamics in CT-based airway models with SPECT/CT. Radiology. 2010;257(3):854–862. doi:10.1148/radiol.10100322
  • van Geffen WH, Hajian B, Vos W, et al. Functional respiratory imaging: heterogeneity of acute exacerbations of COPD. Int J Chron Obstruct Pulmon Dis. 2018;13:1783–1792. doi:10.2147/COPD.S152463
  • Hajian B, De Backer J, Vos W, et al. Changes in ventilation-perfusion during and after an COPD exacerbation: an assessment using fluid dynamic modeling. Int J Chron Obstruct Pulmon Dis. 2018;13:833–842. doi:10.2147/COPD.S153295
  • De Backer LA, Vos WG, Salgado R, et al. Functional imaging using computer methods to compare the effect of salbutamol and ipratropium bromide in patient-specific airway models of COPD. Int J Chron Obstruct Pulmon Dis. 2011;6:637–646. doi:10.2147/COPD.S21917
  • De Backer LA, Vos W, De Backer J, Van Holsbeke C, Vinchurkar S, De Backer W. The acute effect of budesonide/formoterol in COPD: a multi-slice computed tomography and lung function study. Eur Respir J. 2012;40(2):298–305. doi:10.1183/09031936.00072511
  • De Backer J, Vos W, Vinchurkar S, et al. The effects of extrafine beclometasone/formoterol (BDP/F) on lung function, dyspnea, hyperinflation, and airway geometry in COPD patients: novel insight using functional respiratory imaging. J Aerosol Med Pulm Drug Deliv. 2015;28(2):88–99. doi:10.1089/jamp.2013.1064
  • De Backer W, De Backer J, Verlinden I, et al. Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD. Ther Adv Respir Dis. 2020;14:1753466620916990. doi:10.1177/1753466620916990
  • De Backer W, De Backer J, Vos W, et al. A randomized study using functional respiratory imaging to characterize bronchodilator effects of glycopyrrolate/formoterol fumarate delivered by a metered dose inhaler using co-suspension delivery technology in patients with COPD. Int J Chron Obstruct Pulmon Dis. 2018;13:2673–2684. doi:10.2147/COPD.S171707
  • Vos W, Hajian B, De Backer J, et al. Functional respiratory imaging to assess the interaction between systemic roflumilast and inhaled ICS/LABA/LAMA. Int J Chron Obstruct Pulmon Dis. 2016;11:263–271. doi:10.2147/COPD.S93830
  • Lanclus M, Clukers J, Van Holsbeke C, et al. Machine learning algorithms utilizing functional respiratory imaging may predict COPD exacerbations. Acad Radiol. 2019;26(9):1191–1199. doi:10.1016/j.acra.2018.10.022
  • Cahn A, Hamblin JN, Robertson J, et al. An inhaled PI3Kdelta inhibitor improves recovery in acutely exacerbating COPD patients: a randomized trial. Int J Chron Obstruct Pulmon Dis. 2021;16:1607–1619. doi:10.2147/COPD.S309129
  • De Backer L, Vos W, Dieriks B, et al. The effects of long-term noninvasive ventilation in hypercapnic COPD patients: a randomized controlled pilot study. Int J Chron Obstruct Pulmon Dis. 2011;6:615–624. doi:10.2147/COPD.S22823
  • Hajian B, De Backer J, Sneyers C, et al. Pathophysiological mechanism of long-term noninvasive ventilation in stable hypercapnic patients with COPD using functional respiratory imaging. Int J Chron Obstruct Pulmon Dis. 2017;12:2197–2205. doi:10.2147/COPD.S136412
  • Hajian B, De Backer J, Vos W, et al. Pulmonary vascular effects of pulsed inhaled nitric oxide in COPD patients with pulmonary hypertension. Int J Chron Obstruct Pulmon Dis. 2016;11:1533–1541. doi:10.2147/COPD.S106480
  • Woodruff PG, Barr RG, Bleecker E, et al. Clinical significance of symptoms in smokers with preserved pulmonary function. N Engl J Med. 2016;374(19):1811–1821. doi:10.1056/NEJMoa1505971
  • Smith BM, Traboulsi H, Austin JHM, et al. Human airway branch variation and chronic obstructive pulmonary disease. Proc Natl Acad Sci USA. 2018;115(5):E974–E981. doi:10.1073/pnas.1715564115
  • Bhatt SP, Terry NL, Nath H, et al. Association between expiratory central airway collapse and respiratory outcomes among smokers. JAMA. 2016;315(5):498–505. doi:10.1001/jama.2015.19431
  • Diaz AA, Han MK, Come CE, et al. Effect of emphysema on CT scan measures of airway dimensions in smokers. Chest. 2013;143(3):687–693. doi:10.1378/chest.12-0039
  • Kim V, Davey A, Comellas AP, et al. Clinical and computed tomographic predictors of chronic bronchitis in COPD: a cross sectional analysis of the COPDGene study. Respir Res. 2014;15:52. doi:10.1186/1465-9921-15-52
  • Kirby M, Yin Y, Tschirren J, et al. A novel method of estimating small airway disease using inspiratory-to-expiratory computed tomography. Respiration. 2017;94(4):336–345. doi:10.1159/000478865
  • Kirby M, Tanabe N, Tan WC, et al. Total airway count on computed tomography and the risk of chronic obstructive pulmonary disease progression. Findings from a population-based study. Am J Respir Crit Care Med. 2018;197(1):56–65. doi:10.1164/rccm.201704-0692OC
  • Choi S, Haghighi B, Choi J, et al. Differentiation of quantitative CT imaging phenotypes in asthma versus COPD. BMJ Open Respir Res. 2017;4(1):e000252. doi:10.1136/bmjresp-2017-000252
  • Gompelmann D, Eberhardt R, Schuhmann M, et al. Lung volume reduction with vapor ablation in the presence of incomplete fissures: 12-month results from the STEP-UP Randomized Controlled Study. Respiration. 2016;92(6):397–403. doi:10.1159/000452424
  • Gompelmann D, Kontogianni K, Schuhmann M, Eberhardt R, Heussel CP, Herth FJ. The minimal important difference for target lobe volume reduction after endoscopic valve therapy. Int J Chron Obstruct Pulmon Dis. 2018;13:465–472. doi:10.2147/COPD.S152029
  • Kontogianni K, Russell K, Eberhardt R, et al. Clinical and quantitative computed tomography predictors of response to endobronchial lung volume reduction therapy using coils. Int J Chronic Obstr. 2018;13:2215–2223. doi:10.2147/Copd.S159355
  • Schuhmann M, Raffy P, Yin Y, et al. Computed tomography predictors of response to endobronchial valve lung reduction treatment. Comparison with chartis. Am J Respir Crit Care Med. 2015;191(7):767–774. doi:10.1164/rccm.201407-1205OC
  • Aaron CP, Hoffman EA, Kawut SM, et al. Ambient air pollution and pulmonary vascular volume on computed tomography: the MESA air pollution and lung cohort studies. Eur Respir J. 2019;53(6):1802116. doi:10.1183/13993003.02116-2018
  • Boueiz A, Chang Y, Cho MH, et al. Lobar emphysema distribution is associated with 5-year radiological disease progression. Chest. 2018;153(1):65–76. doi:10.1016/j.chest.2017.09.022
  • Diaz AA, Strand M, Coxson HO, et al. Disease severity dependence of the longitudinal association between CT lung density and lung function in smokers. Chest. 2018;153(3):638–645. doi:10.1016/j.chest.2017.10.012
  • Pompe E, Strand M, van Rikxoort EM, et al. Five-year progression of emphysema and air trapping at CT in smokers with and those without chronic obstructive pulmonary disease: results from the COPDGene Study. Radiology. 2020;295(1):218–226. doi:10.1148/radiol.2020191429
  • Charbonnier JP, Pompe E, Moore C, et al. Airway wall thickening on CT: relation to smoking status and severity of COPD. Respir Med. 2019;146:36–41. doi:10.1016/j.rmed.2018.11.014
  • Bodduluri S, Kizhakke Puliyakote A, Nakhmani A, Charbonnier JP, Reinhardt JM, Bhatt SP. Computed tomography-based airway surface area-to-volume ratio for phenotyping airway remodeling in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2021;203(2):185–191. doi:10.1164/rccm.202004-0951OC
  • Welling JBA, Hartman JE, van Rikxoort EM, et al. Minimal important difference of target lobar volume reduction after endobronchial valve treatment for emphysema. Respirology. 2018;23(3):306–310. doi:10.1111/resp.13178
  • Welling JBA, Klooster K, Charbonnier JP, et al. A new oxygen uptake measurement supporting target selection for endobronchial valve treatment. Respiration. 2019;98(6):521–526. doi:10.1159/000502310
  • Slebos DJ, Cicenia J, Sciurba FC, et al. Predictors of response to endobronchial coil therapy in patients with advanced emphysema. Chest. 2019;155(5):928–937. doi:10.1016/j.chest.2019.02.012
  • Bhatt SP, Soler X, Wang X, et al. Association between functional small airway disease and FEV1 decline in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2016;194(2):178–184. doi:10.1164/rccm.201511-2219OC
  • Criner RN, Hatt CR, Galban CJ, et al. Relationship between diffusion capacity and small airway abnormality in COPDGene. Respir Res. 2019;20(1):269. doi:10.1186/s12931-019-1237-1
  • Pompe E, Galban CJ, Ross BD, et al. Parametric response mapping on chest computed tomography associates with clinical and functional parameters in chronic obstructive pulmonary disease. Respir Med. 2017;123:48–55. doi:10.1016/j.rmed.2016.11.021
  • Han MK, Quibrera PM, Carretta EE, et al. Frequency of exacerbations in patients with chronic obstructive pulmonary disease: an analysis of the SPIROMICS cohort. Lancet Respir Med. 2017;5(8):619–626. doi:10.1016/S2213-2600(17)30207-2
  • Boes JL, Hoff BA, Bule M, et al. Parametric response mapping monitors temporal changes on lung CT scans in the subpopulations and intermediate outcome measures in COPD Study (SPIROMICS). Acad Radiol. 2015;22(2):186–194. doi:10.1016/j.acra.2014.08.015
  • Martinez CH, Diaz AA, Meldrum C, et al. Age and small airway imaging abnormalities in subjects with and without airflow obstruction in SPIROMICS. Am J Respir Crit Care Med. 2017;195(4):464–472. doi:10.1164/rccm.201604-0871OC
  • Labaki WW, Gu T, Murray S, et al. Reprint of: voxel-wise longitudinal parametric response mapping analysis of chest computed tomography in smokers. Acad Radiol. 2019;26(3):306–312. doi:10.1016/j.acra.2019.02.003
  • Pompe E, Moore CM, Mohamed Hoesein FAA, et al. Progression of emphysema and small airways disease in cigarette smokers. Chronic Obstr Pulm Dis. 2021;8(2):198–212. doi:10.15326/jcopdf.2020.0140
  • Labaki WW, Xia M, Murray S, et al. Quantitative emphysema on low-dose CT imaging of the chest and risk of lung cancer and airflow obstruction: an analysis of the national lung screening trial. Chest. 2021;159(5):1812–1820. doi:10.1016/j.chest.2020.12.004
  • Yun J, Park J, Yu D, et al. Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net. Med Image Anal. 2019;51:13–20. doi:10.1016/j.media.2018.10.006
  • Kwon SO, Hong SH, Han YJ, et al. Long-term exposure to PM10 and NO2 in relation to lung function and imaging phenotypes in a COPD cohort. Respir Res. 2020;21(1):247. doi:10.1186/s12931-020-01514-w
  • Hwang HJ, Seo JB, Lee SM, et al. New method for combined quantitative assessment of air-trapping and emphysema on chest computed tomography in chronic obstructive pulmonary disease: comparison with parametric response mapping. Korean J Radiol. 2021;22(10):1719–1729. doi:10.3348/kjr.2021.0033
  • Park SW, Lim M-N, Kim WJ, Bak SH. Quantitative assessment the longitudinal changes of pulmonary vascular counts in chronic obstructive pulmonary disease. Res Square. 2021;23:1.
  • Dubsky S, Hooper SB, Siu KK, Fouras A. Synchrotron-based dynamic computed tomography of tissue motion for regional lung function measurement. J R Soc Interface. 2012;9(74):2213–2224. doi:10.1098/rsif.2012.0116
  • Fouras A, Allison BJ, Kitchen MJ, et al. Altered lung motion is a sensitive indicator of regional lung disease. Ann Biomed Eng. 2012;40(5):1160–1169. doi:10.1007/s10439-011-0493-0
  • 4DMedical. 4DMedical commences clinical trial studying XV LVAS at Johns Hopkins school of medicine; [ updated June 29, 2021]. Available from: https://company-announcements.afr.com/asx/4dx/5329e76d-d85f-11eb-8781-565d0a66e208.pdf. Accessed December 29, 2021.